Objects: This study examined the relations among college students' personality characteristics, drink motivation, and drinking behavior. This study also examined the mediating effect of drink motivation on the relationship between college students' personality characteristics and drinking behavior. Methods: The subjects of this study were 210 college students(male: 50, female: 160) attending a university in Chungnam. College students completed the personality characteristics, drink motivation, and drinking behavior scales. The data was analyzed by means of Pearson's correlation coefficients and regressions. Results: Results indicated that college students' neuroticism and extroversion were significantly related to drinking behavior. Also, college students' social motivation and coping motivation were significantly related to drinking behavior. Especially, social motivation fully mediated the relationship between college students' neuroticism and extroversion and drinking behavior. Coping motivation fully and partially mediated the relationship between college students' neuroticism and extroversion and drinking behavior. Conclusions: In this study, the personality characteristics directly influence the drinking behavior, but they found the influence on the drinking behavior through the drink motivation. In particular, it is very necessary to intervene in the development of health education programs that can intervene in drink motivation for college students with neurotic characteristics.
Purpose: In this study, the effects of an alcohol education program for elderly persons with drinking problems and the effects of knowledge of the behavior associated with alcohol use by elderly individuals with drinking problems were evaluated. Method: A single-group repeated study was conducted to evaluate 19 elderly individuals with drinking problems who used the G-city Elderly Welfare Center, with more than eight points in AUDIT results. The changes in drinking knowledge and alcohol behavior following an alcohol education program were evaluated. The effectiveness of the program was analyzed by a Wilcoxon signed rank test. and the relationship between drinking knowledge and changes in alcohol behavior was measured by Spearman's rank correlation coefficient. Results: The results indicated that drinking knowledge after conducting education increased significantly(Z=-3.826, p<.001), and that this increased knowledge resulted in significant changes in alcohol behavior(Z=-3.830, p<.001). There was a significantly positive relationship between drinking knowledge and changes in alcohol behavior(r=.464, p=0.013). Conclusion: Alcohol education programs effectively educate the elderly with drinking problems regarding alcohol, which influences their alcohol behavior.
In order to find associated factors with alcohol drinking among female students, a survey was conducted of 1,073 female students of a women's university in Seoul from the 22nd of May to the 18th of June, 1995. The major results were as follows: 1. Among 1,073 respondents, 13.8% of them were regular drinkers, 71.8% of them were social drinkers. the alcohol drinking rate of female students had significantly different depending on their field of study. The time of their first drind varied: 2. 14.8% in junior nigh school, 30.2% in high school, 4.7% after high school, and 49.4% in college. 3. The major motivation to start drinking was 'social meeting' (45.4%), 'curiosity' (12.6%), and 'releasing stress' (5.5%). 4. The favorite alcohol of drinkers was beer (62.2%), Soju (25.6%), whisky (1.4%), Makkori (0.2%). 5. The frequency of alcohol drinking was 36.5% once a week, 32.8% 2~3 times per month. 15.7% more than twice a week and 8.4% once a month. 6. Among the respondents, 73.4% of them wanted a health education program about drinking. 7. The drinking of the father, mother, brother, sister, boy friend, girl friend had a statistically significant relation with the drinking of the respondents. 8. Meal regularity, balanced diet, smoking, and knowledge of alcohol drinking had a statistically significant relation with the drinking of the respondents. 9. A multiple logistic regression analysis showed that related factors for alcohol drinking were the following: health status, balanced diet, father's drinking, sister's drinking, boy friend's drinking, and smoking.
Purpose: Despite the high drinking rates and the complexity of drinking behaviors in adolescents, insufficient attention has been paid to their drinking patterns. Therefore, we aimed to identify patterns of adolescent drinking behaviors and factors predicting the distinct subgroups of adolescent drinking behaviors. Methods: We analyzed nationally representative secondary data obtained in 2017. Our final sample included 24,417 Korean adolescents who had consumed at least one glass of alcohol in their lifetime. To investigate patterns of drinking behaviors, we conducted a latent class analysis using nine alcohol-related characteristics, including alcohol consumption levels, solitary drinking, timing of drinking initiation, and negative consequences of drinking. Furthermore, we investigated differences in demographics, mental health status, and characteristics of substance use across the latent classes identified in our study. To do so, we used the PROC LCA with COVARIATES statement in the SAS software. Results: We identified three latent classes of drinking behaviors: current non-drinkers (CND), binge drinkers (BD), and problem drinkers (PD). Compared to the CND class, both BD and PD classes were strongly associated with higher academic year, lower academic performance, higher levels of stress, suicidal ideation, lifetime conventional or electronic cigarette use, and lifetime use of other drugs. Conclusion: Health professionals should develop and implement intervention strategies targeting individual subgroups of drinking behaviors to obtain better outcomes. In particular, health professionals should consider different characteristics across subgroups of adolescent drinking behaviors when developing the interventions, such as poor mental health status and other substance use among binge and problem drinkers.
This study was conducted to investigate the anthropometric data, serum profiles, food intakes frequency, and nutrient intakes of women aged 30-49 years. The subjects were divided into two groups: drinking group and non-drinking group. For the study, we obtained data for analysis from the combined 2008-2015 Korean National Health and Nutrition Examination Survey (KNHANES). Height and weight were 159.2 cm and 58.1 kg in the drinking group as well as 158.1 cm and 57.7 kg in the non-drinking group, respectively. Obesity percentage in the two groups were 22.5% and 24.8%, respectively. HDL-cholesterol (P<0.001) and Vitamin D (P=0.0248) levels in the drinking group were significantly higher than those of the non-drinking group. In the drinking group, rates of hypertension, myocardial infarction, and diabetes were significantly lower than those of the non-drinking group. Food and nutrient intakes, including energy, water, protein, fat, retinol, thiamin, riboflavin, and niacin, in the drinking group were significantly higher than those of the non-drinking group. In the two groups, energy, water, fiber, calcium, and potassium intakes were low while Na intakes were extremely high considering KDRIs (Dietary Reference Intakes for Koreans). The mean adequacy ratio (MAR) in the two groups was not significant.
The objective of the paper was to study the drinking and other related behavior of dairy cows (Bos taurus). There were 142 Holstein dairy cows observed and compared in this study. The experiment was designed on the basis of two different housing systems (wet pad with forced ventilation cooling house and open house); two different seasons (winter and summer); four different stages (high milk yielding cows, low milk yielding cows, dry cows, and heifers); and grouping (home and visitor animals). All cows had free access to water. Dairy cows spent 13.8 min/day drinking in wet-pad house and 11.7 min/day in open house. owever, there was no significant difference in the duration of water drinking between these two housing systems (p>0.05). The water consumption was significantly higher in wet-pad housed animals (68 L/day) than open-housed animals (31.5 L/day) (p<0.05). A significant interaction between housing and grouping (p<0.05) was found. Home and visitor animals spent more time drinking in open house, wet-pad house, respectively. A highly significant interaction was found between housing and drinking time during the day (p<0.001). Animals in open house drank more during the morning (6:00 to 10:00 h), whereas wet-pad housed animals drank in the afternoon (14:00 to 15:00 h) and evening (18:00 to 20:00 h). The average time a cow spent in drinking in summer was not ignificantly different from that of drinking in winter. However, the water intake was significantly higher in summer (61.9 L/day) than in winter (38.6 L/day) (p<0.05). Drinking activity showed a highly significant interaction between season and physiological stage (p<0.01). High milk yield cows spent more time drinking in summer than in winter, whereas cows in all other stages followed the opposite drinking pattern. Grouping exchange did not influence the drinking behavior of dairy cows in either season (p>0.05); both home and visitor animals spent almost the same time in drinking water. A strong significant interaction between season and time during the day was found(p<0.01), suggesting that animal's high drinking frequency occurred during the daytime for both seasons, with a peak midday in winter and two peaks at 10:00 h in the morning and 19:00 h in summer. Thus, drinking behavior was associated with the cooler time of day in summer and with the warmer hours of day in winter. High and low milk yielding cows and heifers spent 15.3 min/day, 14.3 min/day, and 12.8 min/day, respectively, in water drinking activity, but there was no significant difference among them (p>0.05). There was, however, a significant difference in water drinking activity found in dry cows, which spent less time in drinking at 8.2 min/day (p<0.05).
Researchers' common findings is that there are positive or negative effect of alcohol expectancy on drinking behavior. Therefore we would effectively prevent troublesome drinking of the youth and university students by inquiring and controlling critical factors affecting alcohol expectancy. The purposes of this thesis are, first, to empirically test factors affecting the alcohol expectancy level of elementary schoolchild(potential drinker).; second, to suggest the necessity for development of pre-alcohol prevention programs. On the basis of previous research, eighteen factors included in four categories(general characters, environmental characters, alcohol knowledge, drinking experience) affecting alcohol expectancy level were found out. 623 subjects used in this study were drawn from 8 elementary schools in Daegu, Korea. The empirical results suggested that the alcohol expectancy level of elementary schoolchildren was negative in general. And it was proved that 9 factors were significantly correlated with alcohol expectancy level. To put it concretely(see Fig.), (1) It was proved that schoolchildren with bad environment(live in oneself, displeased drinking feeling) rather than good environment(live with parents, nice drinking feeling) for drinking had more negative alcohol expectancy. (2) Korean traditional culture that partakes of sacrificial food and drink have an influence on the first drinking of most elementary schoolchildren. And it was proved that schoolchildren with this drinking experience rather than any other motives had less negative alcohol expectancy. (3) It was proved that schoolchildren adapting themselves rather than being difficult in school life had more negative alcohol expectancy. And the more knowledge about alcohol or drinking schoolchildren had, the more they had negative alcohol expectancy (4) It was proved that schoolchildren having drinking experience or drinking at present rather than having no drinking experience or not-drinking at present had less negative alcohol expectancy. (5) It was proved that schoolchildren having strong drinking intention rather than having weak or no drinking intention in the future had more positive alcohol expectancy. Based on previous results, guideline for development of pre-alcohol prevention programs can be represented: discriminated programs development on educatee, drinking education programs development increasing the power of self-control about alcohol and drinking, social education or continuing education programs development on drinking, open preschool education to substantially prevent drinking or alcoholism etc. The findings, however, should be interpreted with caution, because this study has several limitations in measurement and sampling as follows. First, selection bias because of limited selection of sampling. It is because the subjects are drawn from only 8 elementary schools in Daegu. Second, less refined measurement ; Therefore, it is necessary to develop more detailed measures on alcohol knowledge, alcohol expectancy level especially. Further researches should be suggested and encouraged with more refined methodologies.
이 연구는 음주 관련 사회적 특성 및 사회적 스트레스가 음주량에 얼마나 영향을 미치는지 파악하고, 음주량 감소와 음주강요를 거절할 수 있는 절주교육방안의 개발에 기초자료로 사용되기 위하여 연구하게 되었다. 2015년 4월 8일부터 4월 9일까지 2일간 대학생 300명을 대상으로 자기기입식 설문지법을 통하여 일반적 특성과 함께 음주로 인한 사회적 스트레스를 연구의 특성에 맞게 일부 문항 수정을 하였으며, 4점 리커트 척도 10개 문항으로 도구의 신뢰도 Cronbach ${\alpha}=.82$였다. SPSS 18.0을 이용하여 빈도, ${\chi}^2$, 경로 분석 등을 시행하였다. 음주모임 빈도가 많아질수록(B=.206, p<.001), 성별이 여자보다 남자일 경우(B=.169, p<.05), 음주로 인한 사회적 스트레스가 낮을수록(B=-.397, p<.001) 음주량은 증가하였으며, 음주모임 빈도는 성별이 여자보다 남자일 경우(B=.274, p<.01), 월수입이 많아질수록(B=.178, p<.05), 음주로 인한 사회적 스트레스가 낮을수록(B=-.349, p<.01) 높아졌다. 음주량을 낮추고 절주를 실천하기 위해서는 절주하는 문화가 교육이나 홍보를 통해서 자발적으로 형성되지 않는 이상 흡연의 경우와 마찬가지로 음주비용을 대폭 증가시키는 법적인 규제 방안을 시행하여야 한다. 흡연이 좋지 못하다는 것을 보건교육 하듯이 음주가 좋지 못한 상황을 불러올 수 있음을 홍보와 절주교육을 해야 하며, 비음주자에 대한 차별을 없애야 하고, 음주로 인한 스트레스를 해소하려는 문화를 바꾸어 나가야 할 것이다.
In this study, I investigate the drinking behavior and related factors among white collar workers in seoul. Examination was executed with questionnaire to 520 white collar workers. Drinking behavior involves frequency of drinking, amount of alcohol consumption in a drinking situation and alcohol-related problem. Related factors involves the general characteristics, the knowledge about alcohol, the allowable attitude about drinking, work stress and stress copying. This was analyzed with percentage, mean, standard deviation, t-test, ANOV A and pearson's correlation. The results are as follows: Data shows that about 96.3% of the respondents drink at least during the last year and 89.8% of the respondents drink at least during the last month. 59.4% male respondents drink 3-8 times a month, 44.8% female respondents drink 1-2 times a month. High prevalence rates were found in male, married person and those with low-religious spirit in a usual amount of drinking(p〈0.05), male in the latest amount of drinking(p〈0.05), male, forties, married person and those with the highest monthly family income and those with low-religious spirit in frequency of drinking during the latest month(p〈0.05). The score of alcohol-related problem(ARP) was as follows: male workers-2.61, female workers-1.61 out of 35. The score of ARP was statistically significantly different according to sex(p〈0.05). A positive correlation was observed between amount of drinking, frequency of drinking and ARP(p〈0.01). The score of knowledge about alcohol was 3.6 and any correlation and statistically significant difference were not observed between the knowledge about alcohol and drinking behavior. The score of allowable attitude about drinking was statistically significantly different according to sex(p〈0.05), age(p〈0.05). A positive correlation was observed between attitude about drinking and amount of drinking, frequency of drinking, ARP(p〈0.01). The work stress and stress copying had no significant relations with drinking behavior. Most respondents do not drink at stress situation.
Background: In this study, we aimed to investigate the drinking behaviors and drinking-related problems of college students in South Korea to produce national alcohol statistics. Methods: We carefully examined the questionnaires and previous research developed in the previous research project and selected questions that reflect the special environment and culture of college students. In order to stratify a nationally representative sample of college students, the distribution of students around the country were found through the educational statistics database of the Korea Educational Development Institute. Based on this information, we conducted a survey in collaboration with Gallup (Korea) to survey and analyze the drinking behaviors of 5,024 Korean students. Results: A nationwide cross-sectional survey was conducted in 2017, for Korean college students. A total of 5,024 students were recruited and analyzed. The monthly drinking rate was 78.0% for male students and 72.9% for female students. The high-risk drinking rate was 23.3% for male students and 17.2% for female students. The most popular category for number of drinks per drinking session was 'more than 10 glasses' per drinking session for both male (44.1%) and female (32.8%). On the alcohol use disorders identification test, the greatest proportion of male students were in the high-risk drinking category (score 8 to 15) 43.8%, followed by the 'low-risk drinking' (score 0 to 7) in 43.6%, 'alcohol abuse' (score 16 to 19) 7.2%, and 'alcohol dependence' (greater than 20) 5.4% categories, respectively. For female students, the greatest proportion of female students were in the 'low-risk drinking' in 49.6%, followed by 'high-risk drinking' 37.1%, 'alcohol abuse' 8.4%, and 'alcohol dependence' 4.9% categories, respectively. Conclusion: The results of the study showed that the drinking behavior of Korean college students was excessive. Overall, it was found that the college population has a greater high-risk drinking behaviors than general adult population. Furthermore, these problem drinking behaviors were prominent among female college students. Results from the present study suggest that it is necessary to monitor the drinking behavior of college students with constant interest and to prepare policies and strategies suitable for these circumstances.
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